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cohen_kappa_score — scikit-learn 1.8.0 do...
which is a number between -1 and 1. The maximum value means complete...function computes Cohen’s kappa [1] , a score that expresses the...scikit-learn.org/stable/modules/generated/sklearn.metrics.cohen_kappa_score.html -
sigmoid_kernel — scikit-learn 1.8.0 docum...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...defaults to 1.0 / n_features. coef0 float, default=1 Constant offset...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html -
GridSearchCV — scikit-learn 1.8.0 documen...
means 1 unless in a joblib.parallel_backend context. -1 means...0.70 … 4 ‘rbf’ 0.1 – 0.80 … 3 ‘rbf’ 0.2 – 0.93 … 1 will be represented...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html -
dcg_score — scikit-learn 1.8.0 documentation
asarray ([[ 1 , 0 , 0 , 0 , 1 ]]) >>> # by...to have a score between 0 and 1. References Wikipedia entry for...scikit-learn.org/stable/modules/generated/sklearn.metrics.dcg_score.html -
mean_tweedie_deviance — scikit-learn 1.8....
power = 1 ) 1.4260... Gallery examples # Tweedie...power <= 0 or power >= 1. The higher p the less weight...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_tweedie_deviance.html -
weighted_mode — scikit-learn 1.8.0 docume...
1 , 4 , 2 , 4 , 2 ] >>> weights = [ 1 , 1 , 1 , 1...1 , 1 , 1 ] >>> weighted_mode ( x , weights ) (array([4.]),...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.weighted_mode.html -
pairwise_distances_argmin_min — scikit-le...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0...array([0, 1]) >>> distances array([1., 1.]) On this...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_argmin_min.html -
normalized_mutual_info_score — scikit-lea...
1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> ...ore ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes members...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
add_dummy_feature — scikit-learn 1.8.0 do...
1 ], [ 1 , 0 ]]) array([[1., 0., 1.], [1., 1., 0.]])...add_dummy_feature ( X , value = 1.0 ) [source] # Augment dataset...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.add_dummy_feature.html -
RowMapperResultSetExtractor (Spring Framework 7...
1)); Alternatively, consider subclassing...row-mapping logic) there. Since: 1.0.2 Author: Juergen Hoeller, Yanming...docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/jdbc/core/RowMapperR...